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re3data –
Registry of Research Data Repositories
Heinz Pampel & PaulVierkant | GFZ German Research Centre for Geosciences
RDA-DE-Trainings-Workshop 2016 | Hamburg, May 25, 2016
Background
Background
European Commisson. (2014). Horizon 2020 Annotated Model Grant Agreements.Version
1.6.2 .Retrieved from http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/
h2020-amga_en.pdf
•  Funders‘ data policies
•  Example: European Commission
Background
NPG (2013). Availability of data and materials. Retrieved from http://www.nature.com/authors/policies/availability.html
PLOS (2014). PLOS Editorial and Publishing Policies. Retrieved from http://www.plosone.org/static/policies.action
•  Journals‘ data policies
•  Example: Nature Publishing Group
•  “[...] authors are required to make materials, data and
associated protocols promptly available to readers
without undue qualifications.“
•  Example: Public Library of Science - PLOS
•  “PLOS journals require authors to make all data
underlying the findings described in their manuscript fully
available without restriction, with rare exception.“
Background
NPG (2013). Availability of data and materials. Retrieved from http://www.nature.com/authors/policies/availability.html
PLOS (2014). PLOS Editorial and Publishing Policies. Retrieved from http://www.plosone.org/static/policies.action
•  Journals‘ data policies
•  Example: Nature Publishing Group
•  “[...] authors are required to make materials, data and
associated protocols promptly available to readers
without undue qualifications.“
•  Example: Public Library of Science - PLOS
•  “PLOS journals require authors to make all data
underlying the findings described in their manuscript fully
available without restriction, with rare exception.“
Mission
Pampel, H. et al. (2013). Making Research Data
RepositoriesVisible:The re3data.org Registry.
PLOS ONE, 8(11), e78080. http://doi.org/
10.1371/journal.pone.0078080
•  global registry of research data repositories
•  covers all academic disciplines
•  helps researchers, funding bodies, publishers,
libraries and scholarly institutions to find research
data repositories
•  promotes a culture of sharing, increased access and
better visibility of research data
Metadata schema
Rücknagel, J. et al. (2015). Metadata Schema for
the Description of Research Data Repositories.
Version 3.0. Retrieved from http://doi.org/
10.2312/re3.008
41Properties
3.0Version
Based on Analyses,
Feedback and Experience
Icons
The research data repository provides
additional information on its service.
The research data repository
provides open/restricted/closed
access to its data.
The terms of use and licenses
of the data are provided by the
research data repository.
The research data repository
provides a policy.
The research data repository uses
a persistent identifier system to make its
provided data persistent, unique and citable.
The research data repository is
either certified or supports a
repository standard. RESEARCH
DATA
REPOSITORY
GENERAL
INFORMATION
POLICY
LEGAL
ASPECTS
TECHNICAL
STANDARDS
QUALITY
STANDARDS
simple
search box
filters	
results icons
Quality
•  Definition
•  „A research data repository is a subtype of a sustainable
information infrastructure which provides long-term storage and
access to research data. […]”
Quality
•  Registration Policy
•  „To be registered in re3data.org a research data repository must
•  be run by a legal entity, such as a sustainable institution (e.g.
library, university)
•  clarify access conditions to the data and repository as well as
the terms of use
•  have focus on research data“
Workflow
Indexed repositories
0	
200	
400	
600	
800	
1000	
1200	
1400	
1600	
Growth of re3data
Indexed	Research	
Data	Repositories
Cooperation
•  Deutsche Initiative für Netzwerkinformation (DINI)
•  DataCite (MoU, April 2012)
•  OpenAIRE (MoU, October 2013)
•  BioSharing (MoU, November 2013)
•  Databib (MoU, March 2014)
•  DataCite (Formal cooperation, March 2015)
Policies
•  Funder Example: European Commission
European Commission (2015): Guidelines on Open Accessto Scientific Publications and Research Data in Horizon 2020 http://ec.europa.eu/research/participants/data/ref/h2020/
grants_manual/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf
•  Institutional Example: Bielefeld University
•  „Verzeichnisse, wie das DFG-geförderte "Registry of Research Data Repositories", bilden die
Grundlage für die Suche nach geeigneten Publikationsorten für die Forschungsdaten.“
Universität Bielefeld (2011): Resolution zum Forschungsdatenmanagement. https://data.uni-bielefeld.de/de/resolution
•  Publisher Example: Nature Publishing Group
•  „Physics, astrophysics, astronomy and geoscience databases should be registered with
re3data.org.“
Scientific Data (2013): Data policies. http://www.nature.com/sdata/data-policies
Governance
•  Merger with DataBib under the auspices of DataCite
•  re3data.org working group within DataCite
•  International Editorial Board
•  Cooperations within RDA and the
research data repository community
•  Community building and feedback
loops during RFC phases (e.g. re3data.org schema)
Governance
Openness
•  Open interfaces
•  RESTful API
•  OpenSearch
•  Documentation: http://www.re3data.org/api/doc
•  Used e.g. by OpenAIRE
•  Open metadata
•  CC 0 deed for metadata
•  Documentation: http://www.re3data.org/schema/
Browsing
Faceted search
Profil pages
Badges
Change requests
Analyse
•  Sample: n = 1381 Repositorien (basierend auf
MetadatenschemaVersion 2.2 oder jünger)
•  Datenbankabzug (SQL) vom 3. Dezember 2015
•  Vorläufige Ergebnisse (deskriptiv) auf den nachfolgenden Folien
(Ausschnitt!)
•  Artikel zur Datenanalyse in Arbeit
•  Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis.
2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of
Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.
49709
Vierkant, P., et al. (2014). Schema for the
Description of Research Data Repositories.
Version 2.2. doi:10.2312/re3.006
Repository types*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
*Ein FDR kann mehr als eine Angabe haben (n = 1766).
67,38%	
23,05%	
9,57%	
disciplinary	
ins;tu;onal	
other
Content types*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
* Ein FDR kann mehr als eine Angabe haben (n = 6340; Durchschnittswert: 4,6).
27	 49	 104	
204	 253	 258	
339	
446	 490	 541	 586	
686	 690	
786	
881	
0	
100	
200	
300	
400	
500	
600	
700	
800	
900	
1000	
count
Database access
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
0,14%	
95,51%	
4,34%	
closed	
open	
restricted
Data access*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
* Ein FDR kann mehr als eine Angabe haben (n = 2021).
5,10%	
4,65%	
58,93%	
31,32%	
closed	
embargoed	
open	
restricted
Data licenses*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
*Ein FDR kann mehr als eine Angabe haben (n = 1895).
1	 1	 2	 6	 12	 26	 27	
196	
301	
533	
790	
0	
100	
200	
300	
400	
500	
600	
700	
800	
900	
count
Certificates*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
1	 1	 1	 2	 3	 6	
14	
52	
72	
109	
0	
20	
40	
60	
80	
100	
120	
DIN	31644	 ISO	16363	 Trusted	
Digital	
Repository	
DINI	
Cer;ficate	
TRAC	 RatSWD	 CLARIN	
cer;ficate	B	
Data	Seal	of	
Approval	
World	Data	
System	
Other	
count	
*Ein FDR kann mehr als eine Angabe haben (n = 262).
APIs*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
*Application Programming Interfaces. Ein FDR kann mehr als eine Angabe haben (n = 830).
10	 16	 20	 21	
52	
85	
164	
178	
284	
0	
50	
100	
150	
200	
250	
300	
SPARQL	 OPeNDAP	 NetCDF	 SWORD	 SOAP	 OAI-PMH	 REST	 Other	 FTP	
count
Persistent Identifier Systems*
Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research
Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709
*Ein FDR kann mehr als eine Angabe haben (n = 1421).
11	 16	 16	
77	 102	
275	
924	
0	
100	
200	
300	
400	
500	
600	
700	
800	
900	
1000	
ARK	 PURL	 URN	 Other	 Handle	 DOI	 None	
count	
Persistent	Iden;fier	Systems
Thanks to the team!
•  Roland Bertelmann, Nele Neuberger, Heinz Pampel, PaulVierkant
•  GFZ German Research Centre for Geosciences, Library and Information Services (LIS)
•  Florian Fritze, Maxi Kindling, Jessika Rücknagel, Peter Schirmbacher, Stephanie van de Sandt
•  Humboldt-Universität zu Berlin, Berlin School of Library and Information Science (BSLIS)
•  Hans-Jürgen Goebelbecker, Gabriele Kloska, Evelyn Reuter, Frank Scholze, Edeltraud Schnepf,
Angelika Semrau, Michael Skarupianski, Robert Ulrich
•  Karlsruhe Institute of Technology (KIT), KIT Library
•  Michael Witt
•  Purdue University, Distributed Data Curation Center (D2C2)
info@re3data.org
http://re3data.org
With the exception of all photos and graphics, this slides are licensed under the
“Attribution 4.0 International (CC BY 4.0)“ Licence: http://creativecommons.org/
licenses/by/4.0/

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re3data - Registry of Research Data Repositories

  • 1. re3data – Registry of Research Data Repositories Heinz Pampel & PaulVierkant | GFZ German Research Centre for Geosciences RDA-DE-Trainings-Workshop 2016 | Hamburg, May 25, 2016
  • 3. Background European Commisson. (2014). Horizon 2020 Annotated Model Grant Agreements.Version 1.6.2 .Retrieved from http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/ h2020-amga_en.pdf •  Funders‘ data policies •  Example: European Commission
  • 4. Background NPG (2013). Availability of data and materials. Retrieved from http://www.nature.com/authors/policies/availability.html PLOS (2014). PLOS Editorial and Publishing Policies. Retrieved from http://www.plosone.org/static/policies.action •  Journals‘ data policies •  Example: Nature Publishing Group •  “[...] authors are required to make materials, data and associated protocols promptly available to readers without undue qualifications.“ •  Example: Public Library of Science - PLOS •  “PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.“
  • 5. Background NPG (2013). Availability of data and materials. Retrieved from http://www.nature.com/authors/policies/availability.html PLOS (2014). PLOS Editorial and Publishing Policies. Retrieved from http://www.plosone.org/static/policies.action •  Journals‘ data policies •  Example: Nature Publishing Group •  “[...] authors are required to make materials, data and associated protocols promptly available to readers without undue qualifications.“ •  Example: Public Library of Science - PLOS •  “PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.“
  • 6. Mission Pampel, H. et al. (2013). Making Research Data RepositoriesVisible:The re3data.org Registry. PLOS ONE, 8(11), e78080. http://doi.org/ 10.1371/journal.pone.0078080 •  global registry of research data repositories •  covers all academic disciplines •  helps researchers, funding bodies, publishers, libraries and scholarly institutions to find research data repositories •  promotes a culture of sharing, increased access and better visibility of research data
  • 7. Metadata schema Rücknagel, J. et al. (2015). Metadata Schema for the Description of Research Data Repositories. Version 3.0. Retrieved from http://doi.org/ 10.2312/re3.008 41Properties 3.0Version Based on Analyses, Feedback and Experience
  • 8. Icons The research data repository provides additional information on its service. The research data repository provides open/restricted/closed access to its data. The terms of use and licenses of the data are provided by the research data repository. The research data repository provides a policy. The research data repository uses a persistent identifier system to make its provided data persistent, unique and citable. The research data repository is either certified or supports a repository standard. RESEARCH DATA REPOSITORY GENERAL INFORMATION POLICY LEGAL ASPECTS TECHNICAL STANDARDS QUALITY STANDARDS
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Quality •  Definition •  „A research data repository is a subtype of a sustainable information infrastructure which provides long-term storage and access to research data. […]”
  • 15. Quality •  Registration Policy •  „To be registered in re3data.org a research data repository must •  be run by a legal entity, such as a sustainable institution (e.g. library, university) •  clarify access conditions to the data and repository as well as the terms of use •  have focus on research data“
  • 17. Indexed repositories 0 200 400 600 800 1000 1200 1400 1600 Growth of re3data Indexed Research Data Repositories
  • 18. Cooperation •  Deutsche Initiative für Netzwerkinformation (DINI) •  DataCite (MoU, April 2012) •  OpenAIRE (MoU, October 2013) •  BioSharing (MoU, November 2013) •  Databib (MoU, March 2014) •  DataCite (Formal cooperation, March 2015)
  • 19. Policies •  Funder Example: European Commission European Commission (2015): Guidelines on Open Accessto Scientific Publications and Research Data in Horizon 2020 http://ec.europa.eu/research/participants/data/ref/h2020/ grants_manual/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf •  Institutional Example: Bielefeld University •  „Verzeichnisse, wie das DFG-geförderte "Registry of Research Data Repositories", bilden die Grundlage für die Suche nach geeigneten Publikationsorten für die Forschungsdaten.“ Universität Bielefeld (2011): Resolution zum Forschungsdatenmanagement. https://data.uni-bielefeld.de/de/resolution •  Publisher Example: Nature Publishing Group •  „Physics, astrophysics, astronomy and geoscience databases should be registered with re3data.org.“ Scientific Data (2013): Data policies. http://www.nature.com/sdata/data-policies
  • 20. Governance •  Merger with DataBib under the auspices of DataCite •  re3data.org working group within DataCite •  International Editorial Board •  Cooperations within RDA and the research data repository community •  Community building and feedback loops during RFC phases (e.g. re3data.org schema)
  • 22. Openness •  Open interfaces •  RESTful API •  OpenSearch •  Documentation: http://www.re3data.org/api/doc •  Used e.g. by OpenAIRE •  Open metadata •  CC 0 deed for metadata •  Documentation: http://www.re3data.org/schema/
  • 28. Analyse •  Sample: n = 1381 Repositorien (basierend auf MetadatenschemaVersion 2.2 oder jünger) •  Datenbankabzug (SQL) vom 3. Dezember 2015 •  Vorläufige Ergebnisse (deskriptiv) auf den nachfolgenden Folien (Ausschnitt!) •  Artikel zur Datenanalyse in Arbeit •  Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo. 49709 Vierkant, P., et al. (2014). Schema for the Description of Research Data Repositories. Version 2.2. doi:10.2312/re3.006
  • 29. Repository types* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 *Ein FDR kann mehr als eine Angabe haben (n = 1766). 67,38% 23,05% 9,57% disciplinary ins;tu;onal other
  • 30. Content types* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 * Ein FDR kann mehr als eine Angabe haben (n = 6340; Durchschnittswert: 4,6). 27 49 104 204 253 258 339 446 490 541 586 686 690 786 881 0 100 200 300 400 500 600 700 800 900 1000 count
  • 31. Database access Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 0,14% 95,51% 4,34% closed open restricted
  • 32. Data access* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 * Ein FDR kann mehr als eine Angabe haben (n = 2021). 5,10% 4,65% 58,93% 31,32% closed embargoed open restricted
  • 33. Data licenses* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 *Ein FDR kann mehr als eine Angabe haben (n = 1895). 1 1 2 6 12 26 27 196 301 533 790 0 100 200 300 400 500 600 700 800 900 count
  • 34. Certificates* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 1 1 1 2 3 6 14 52 72 109 0 20 40 60 80 100 120 DIN 31644 ISO 16363 Trusted Digital Repository DINI Cer;ficate TRAC RatSWD CLARIN cer;ficate B Data Seal of Approval World Data System Other count *Ein FDR kann mehr als eine Angabe haben (n = 262).
  • 35. APIs* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 *Application Programming Interfaces. Ein FDR kann mehr als eine Angabe haben (n = 830). 10 16 20 21 52 85 164 178 284 0 50 100 150 200 250 300 SPARQL OPeNDAP NetCDF SWORD SOAP OAI-PMH REST Other FTP count
  • 36. Persistent Identifier Systems* Kindling, M., et al.: The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. In Preparation. van de Sandt, S. et al.: Research Data Documenation:The Landscape of Research Data Repositories in 2015.A re3data Analysis. 2016. http://doi.org/10.5281/zenodo.49709 *Ein FDR kann mehr als eine Angabe haben (n = 1421). 11 16 16 77 102 275 924 0 100 200 300 400 500 600 700 800 900 1000 ARK PURL URN Other Handle DOI None count Persistent Iden;fier Systems
  • 37. Thanks to the team! •  Roland Bertelmann, Nele Neuberger, Heinz Pampel, PaulVierkant •  GFZ German Research Centre for Geosciences, Library and Information Services (LIS) •  Florian Fritze, Maxi Kindling, Jessika Rücknagel, Peter Schirmbacher, Stephanie van de Sandt •  Humboldt-Universität zu Berlin, Berlin School of Library and Information Science (BSLIS) •  Hans-Jürgen Goebelbecker, Gabriele Kloska, Evelyn Reuter, Frank Scholze, Edeltraud Schnepf, Angelika Semrau, Michael Skarupianski, Robert Ulrich •  Karlsruhe Institute of Technology (KIT), KIT Library •  Michael Witt •  Purdue University, Distributed Data Curation Center (D2C2)
  • 38. info@re3data.org http://re3data.org With the exception of all photos and graphics, this slides are licensed under the “Attribution 4.0 International (CC BY 4.0)“ Licence: http://creativecommons.org/ licenses/by/4.0/